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Uncovering genetic mechanisms of hypertension through multi-omic analysis of the kidney

James Eales, Xiao Jiang, Xiaoguang Xu, Sushant Saluja, Artur Akbarov, Eddie Cano-Gamez, Michelle T. McNulty, Chris Finan, Hui Guo, Wojciech Wystrychowski, Monika Szulińska, Huw B. Thomas, Sanjeev Pramanik, Sandesh Chopade, Priscilla R. Prestes, Ingrid Wise, Εvangelos Εvangelou, Mahan Salehi, Yusif Shakanti, Mikael Ekholm, Matthew Denniff, Alicja Nazgiewicz, Felix Eichinger, Bradley Godfrey, Andrzej Antczak, Maciej Głyda, Robert Król, Stephen Eyre, Jason L. Brown, Carlo Berzuini, John Bowes, Mark J. Caulfield, E Zukowska-Szczechowska, Joanna Żywiec, Paweł Bogdański, Matthias Kretzler, Adrian S. Woolf, David Talavera, Bernard Keavney, Pasquale Maffia, Tomasz J. Guzik, Raymond T. O’Keefe, Gosia Trynka, Nilesh J. Samani, Aroon D. Hingorani, Matthew G. Sampson, Andrew P. Morris, Fadi J. Charchar, Maciej Tomaszewski

2021Nature Genetics68 citationsDOIOpen Access PDF

Topics & Concepts

Genome-wide association studyBiologyMendelian randomizationGeneticsKidneyGenetic associationCandidate geneBioinformaticsGeneSingle-nucleotide polymorphismGenotypeGenetic variantsGenetic Associations and EpidemiologyBirth, Development, and HealthEpigenetics and DNA Methylation
Uncovering genetic mechanisms of hypertension through multi-omic analysis of the kidney | Litcius